Showing 17,601 - 17,620 results of 18,984 for search '"behavior"', query time: 0.12s Refine Results
  1. 17601

    Experimental Study on the Effects of Stress-Induced Damage on the Microstructure and Mechanical Properties of Soft Rock by Hao Wang, Yong-Yan Wang, Zhuo-Qun Yu, Jian-Guang Li

    Published 2021-01-01
    “…Studying the microstructures and mechanical behaviors of stress-damaged rocks can help better guide construction and reduce construction risks for geotechnical engineering projects. …”
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  2. 17602

    Case study of a neuroendocrine tumor of uncertain origin: single-cell transcriptomics unravels potential primary location by Frolova Tatyana, Ekaterina Avsievich, Diana Salimgereeva, Zoia Antysheva, Alesia Maluchenko, Denis Maksimov, Ilia Feidorov, Mark Voloshin, Olga Glazova, Natalia Bodunova, Nikolay Karnaukhov, Pavel Volchkov, Julia Krupinova

    Published 2024-12-01
    “…Neuroendocrine tumors are rare neoplasms with diverse clinical behaviors. Determining their primary origin remains challenging in cases of non-organ-confined NETs. …”
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  3. 17603
  4. 17604

    The Anthropology of Fear of God Based on Allameh Tabatabai's Perspective: A Psychological Approach by mahmood khaliliyan shalamzari

    Published 2024-05-01
    “…Discussion of Results and ConclusionsTo Allameh Tabatabai, a human is not only a needy being but also a purposeful being. The analysis of behaviors and emotional traits in the thought of Tabatabai is based on the principle of directionality. …”
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  5. 17605

    Correlation of the Changes of Gray Matter Volume with Aβ Deposition and Learning and Memory Abilities in APP/PS1 Mice at Different Periods by Yuhao ZHANG, Hao JIN, Xiufeng ZHANG, Shengxiang LIANG, Weilin LIU, Jing TAO, Lidian CHEN

    Published 2020-08-01
    “…Objective:To analyze the correlation in the changes of cerebral gray matter volume and the ability of memory learning, and the deposition of β-amyloid protein (Aβ) in related brain regions of Alzheimer's disease (AD) double-transgenic APP/PS1 model mice, which is expected to provide reliable behavioral and imaging basis for probing the pathological features of AD animal models.Methods:A total of two groups mice were included in this study, including the wild type (WT) group and the APP/PS1 group, with 36 mice in each group. …”
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  6. 17606
  7. 17607
  8. 17608

    Differentiating Between Perfluorohexyloctane Ophthalmic Solution and Water-Free Cyclosporine Ophthalmic Solution 0.1% for Dry Eye Disease: A Review of Preclinical and Clinical Char... by Laura M. Periman, Darrell E. White, Douglas Katsev

    Published 2025-01-01
    “…The structure of these SFAs determines their differing behaviors and functions. The longer chain length of PFHO results in a slower evaporation rate and facilitates formation of a stable monolayer on the ocular surface. …”
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  9. 17609

    Quelles balises curriculaires en éducation à la prospective territoriale durable ? Valeurs d’émancipation et finalités d’implications politiques des jeunes dans les études de cas e... by Angela Barthes, Sylviane Blanc-Maximin, Elisabeth Dorier

    Published 2019-03-01
    “…It is a question of promoting collective management of the public affairs of young people without introducing into individual behavioral normalisations. The curriculum guidelines are based on the epistemological framework of "educations for", that of critical thinking, and on an adaptation of the common base of knowledge of skills and culture (MEN, 2015). …”
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  10. 17610

    Perceived Anxiety among Undergraduate Dental Students During Oral and Written Prosthetic Examination by Zainab Mahmood Al-Jammali, Aoss Moez Abed-Alhussian Alyassery, Zahraa Saad Karkosh, Anas Al-Yasiry

    Published 2024-12-01
    “…Background: The test of anxiety refers to emotional states with behavioral and psychological correlates. Objectives: To determine if anxiety induced by exams affects the oral and written prosthetic examination performance of dental students in Iraq. …”
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  11. 17611

    Financing the future: insights into sustainable energy investments through scientific mapping and meta-analysis by Mustafa Raza Rabbani, Madiha Kiran, Zakir Hossen Shaikh

    Published 2025-01-01
    “…The insights from this study aim to inspire and equip readers as they embark on their inquiries into the connections between energy investment, policy, finance, and behavioral sciences. Following identifying research gaps, this paper outlines potential future research directions. …”
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  12. 17612

    Causes and Intervention Strategies to Reduce Childhood Obesity in Ambato by Carlos David Castañeda Guillot, Diego Fernando Vaca Sánchez, María Augusta Reyes Pérez

    Published 2024-01-01
    “…<br /><strong>Results:</strong> obese patients predominated in an age range of 13 years or more and were female. 86 % of patients showed excessive consumption of sweets and snacks, spending more than 30 hours a week in front of digital devices, and 73.1 % showed inappropriate family behaviors. An educational program was proposed with 5 sessions that includes: objectives, content and specific evaluations. …”
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  13. 17613

    Data traceability mechanism based on consortium chain by Shoucai ZHAO, Lifeng CAO, Xuehui DU

    Published 2023-10-01
    “…With the unprecedented growth in the speed of data generation and circulation in the era of big data, the emergence of blockchain technology provides a new solution for data authenticity verification.However, with the increasing demand for data flow between different blockchains, new security issues arise.Cross-chain data transmission can lead to data leakage, and detecting data leakage caused by illegal access becomes challenging.To address these problems, a data traceability mechanism based on a consortium chain was proposed.A cross-blockchain data traceability model was designed, incorporating private data pipelines to ensure the security of cross-chain data transmission.User behaviors were recorded through authorization and access logs, ensuring the traceability of illegal unauthorized access.To improve the efficiency of data traceability and query, an on-chain and off-chain synchronous storage mechanism was adopted.The state of data flow before each transaction was encrypted and stored in the database, and its index was stored in the blockchain transaction.This enables a one-to-one correspondence between on-chain and off-chain data.Additionally, Merkle trees were introduced into the block body to store block summaries, enhancing the efficiency of block legitimacy verification.Based on the data storage form and cross-chain data interaction mechanism, a data traceability algorithm was designed.The traceability results were displayed in the form of an ordered tree.An experimental environment for consortium chain traceability was built using fabric, targeting the cross-domain data traceability scenario in the e-commerce industry.The GO language was used to simulate and test the data traceability performance with a large number of blocks and transactions.The results demonstrate that with the increasing number of blocks and transactions, the proposed data traceability mechanism maintains satisfactory performance.…”
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  14. 17614

    Analysis on anonymity and regulation of digital currency transactions based on game theory by Xian ZHANG, Jianming ZHU, Zhiyuan SUI, Shengzhi MING

    Published 2022-10-01
    “…By using technologies such as blockchain, digital currency, as a new type of monetary asset, has been promoting the development of digital economy.Digital currency trading platform plays an important role in the use of private digital currency by digital currency users.Existing digital currency trading platforms may expose users’ privacy and provide illegal elements with the conditions to participate in various abnormal trading behaviors such as“air dropping” events, extortion, fraud, etc.The strong anonymity protection of users by digital currency trading platforms also make it more difficult for regulatory authorities to supervise digital currency transactions.Therefore, the strength of the anonymity protection of users by digital currency trading platforms need to consider not only the privacy protection of users, but also meet the regulatory requirements.For this reason, based on the analysis of the relationship between the digital currency trading platforms and the supervisory departments, an evolutionary game model was established, the digital currency trading platform and the supervisory game model were defined and constructed, and the replication dynamic equation was solved and the balanced solution was obtained according to the income matrix between the digital currency trading platform and the supervisory department.By building a Jacobian matrix, the stability of the evolutionary system under different parameters was analyzed.Besides, the evolutionary stable selection and strategy of the digital currency trading platform and the regulatory authority under different conditions were also analyzed.With Matlab, different strategies of anonymity protection of the digital currency trading platform and different strategies of supervision strategy of the regulatory department were simulated to verify the accuracy of the game model.Based on the results of the simulations, some suggestions on the supervision of digital currency trading platforms are put forward, which provides a theoretical basis for the future supervision of digital currency trading platforms in China.…”
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  15. 17615

    Adoption of AI writing tools among academic researchers: A Theory of Reasoned Action approach. by Mohammed A Al-Bukhrani, Yasser Mohammed Hamid Alrefaee, Mohammed Tawfik

    Published 2025-01-01
    “…This pioneering study investigates researchers' acceptance of AI writing tools using a technology acceptance model, contributing to the understanding of technology adoption in professional contexts and highlighting the importance of field-specific factors in examining adoption intentions and behaviors.…”
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  16. 17616

    Research Progress on the Relationship between Peripheral Somatosensory Neurons and Autism Spectrum Disorder by ZHUANG Wanyu, HONG Yu, LIN Dong, HUANG Longsheng

    Published 2022-04-01
    “…Peripheral somatosensory neurons are the primary processing centers in somatosensory neural pathways and important information transmission hubs, which are essential for the formation of somatosensory perception; their information transmission with the brain has an important impact on brain development, the development of various complex behaviors and emotions. The influencing factors include genetic and environmental factors, of which genetic factors include γ-aminobutyric acid type A receptor subunit β3 gene mutation, methylated CpG binding protein 2 gene loss or mutation, SHANK3 gene mutation, Fmr1 gene deletion, Cntnap2 gene deletion; environmental factors such as infection, drugs, stress, and obesity. …”
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  17. 17617

    Investigation of Prophylactic Drug Use Adherence in Patients with Migraine by Ezgi Can, Tuğba Tunç

    Published 2024-04-01
    “…Non-compliance with prescribed treatment regimens is an important and common behavioral health problem for treating chronic diseases. …”
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  18. 17618

    Cats and dogs cross the line: domestic breeds follow Rensch’s rule, their wild relatives do not by C. J. Bidau, P. A. MartÍnez

    Published 2017-07-01
    “…The domestication syndrome already recognized by Darwin shows that domesticated species acquire a number of novel morphological, physiological and behavioral characteristics not present in their wild ancestors. …”
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  19. 17619

    Pedagogical monitoring of the moral culture of a preschool child by Olga A. Beznosova, Artur M. Allagulov

    Published 2022-09-01
    “…It allows to conduct a comprehensive assessment of the moral development of children according to cognitive, emotional-evaluative and behavioral criteria. Empirical testing has shown that the proposed monitoring procedure corresponds to the solution of the tasks set, makes it possible to assess both individual criteria and the general level of development of the moral culture of preschoolers, and the results obtained are correlated with expert assessments and observations of teachers and educators.…”
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  20. 17620

    Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

    Published 2022-02-01
    “…With the research in network science, real networks involved are becoming more and more extensive.Redundant error relationships in complex systems, or behaviors that occur deliberately for unusual purposes, such as wrong clicks on webpages, telecommunication network spying calls, have a significant impact on the analysis work based on network structure.As an important branch of graph anomaly detection, anomalous edge recognition in complex networks aims to identify abnormal edges in network structures caused by human fabrication or data collection errors.Existing methods mainly start from the perspective of structural similarity, and use the connected structure between nodes to evaluate the abnormal degree of edge connection, which easily leads to the decomposition of the network structure, and the detection accuracy is greatly affected by the network type.In response to this problem, a CNSCL algorithm was proposed, which calculated the node importance at the semi-local structure scale, analyzed different types of local structures, and quantified the contribution of edges to the overall network connectivity according to the semi-local centrality in different structures, and quantified the reliability of the edge connection by combining with the difference of node structure similarity.Since the connected edges need to be removed in the calculation process to measure the impact on the overall connectivity of the network, there was a problem that the importance of nodes needed to be repeatedly calculated.Therefore, in the calculation process, the proposed algorithm also designs a dynamic update method to reduce the computational complexity of the algorithm, so that it could be applied to large-scale networks.Compared with the existing methods on 7 real networks with different structural tightness, the experimental results show that the method has higher detection accuracy than the benchmark method under the AUC measure, and under the condition of network sparse or missing, It can still maintain a relatively stable recognition accuracy.…”
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